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Bruno Guindani
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2020 – today
- 2024
- [j1]Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi, Roberto Rocco, Gianluca Palermo:
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. IEEE Trans. Cloud Comput. 12(1): 277-294 (2024) - [c6]Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Yuedong Zhang, Emanuele Vitali, Bruno Guindani, Danilo Ardagna, Cristina Silvano, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Akash Deep Biswas, Jan Martinovic, Martin Golasowski, Paulo Silva, Ada Böhm, Jakub Beránek, Jan Krenek, Branislav Jansik, Peter Thoman, Philip Salzmann, Thomas Fahringer, Torsten Schwede, Leila Tamara Alexander, Gerardo Tauriello, Janani Durairaj, Biagio Cosenza, Luigi Crisci, Andrew Emerson, Federico Ficarelli, Erik Lindahl, Sebastian Wingbermühle, Daniele Gregori, Silvano Coletti, Emanuele Sana, Philipp Gschwandtner:
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale. CF (Companion) 2024 - [c5]Bruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini:
Exploring the Utility of Graph Methods in HPC Thermal Modeling. ICPE (Companion) 2024: 106-111 - [i2]Bruno Guindani, Davide Gadioli, Roberto Rocco, Danilo Ardagna, Gianluca Palermo:
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application. CoRR abs/2410.14842 (2024) - 2023
- [c4]Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Biagio Cosenza, Luigi Crisci, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Erik Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner:
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CF 2023: 272-278 - [c3]Bruno Guindani, Marco Lattuada, Danilo Ardagna:
aMLLibrary: An AutoML Approach For Performance Prediction. ECMS 2023: 215-221 - [c2]Enrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer:
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications. ICPE (Companion) 2023: 139-146 - [i1]Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, Emanuele Vitali, Cristina Silvano, Bruno Guindani, Danilo Ardagna, Andrea Rosario Beccari, Domenico Bonanni, Carmine Talarico, Filippo Lunghini, Jan Martinovic, Paulo Silva, Ada Bohm, Jakub Beránek, Jan Krenek, Branislav Jansik, Luigi Crisci, Biagio Cosenza, Peter Thoman, Philip Salzmann, Thomas Fahringer, Leila T. Alexander, Gerardo Tauriello, Torsten Schwede, Janani Durairaj, Andrew Emerson, Federico Ficarelli, Sebastian Wingbermühle, Erik Lindahl, Daniele Gregori, Emanuele Sana, Silvano Coletti, Philipp Gschwandtner:
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach. CoRR abs/2304.09953 (2023) - 2022
- [c1]Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi:
MALIBOO: When Machine Learning meets Bayesian Optimization. SmartCloud 2022: 1-9
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